ÍÚ¾òÉç½»ÍøÂç

Preface
Part I£® A Guided Tour of the Social Web
Prelude
1£® Mining Twitter£º Exploring Trending Topics£¬ Discovering What People Are Talking About£¬ and More
1£®1 Overview
1£®2 Why Is Twitter All the Rage?
1£®3 Exploring Twitter's API
1£®3£®1 Fundamental Twitter Terminology
1£®3£®2 Creating a Twitter API Connection
1£®3£®3 Exploring Trending Topics
1£®3£®4 Searching for Tweets
1£®4 Analyzing the 140 £¨or More£© Characters
1£®4£®1 Extracting Tweet Entities
1£®4£®2 Analyzing Tweets and Tweet Entities with Frequency Analysis
1£®4£®3 Computing the Lexical Diversity of Tweets
1£®4£®4 Examining Patterns in Retweets
1£®4£®5 Visualizing Frequency Data with Histograms
1£®5 Closing Remarks
1£®6 Recommended Exercises
1£®7 Online Resources
2£® Mining Facebook£º Analyzing Fan Pages£¬ Examining Friendships£¬ and More
2£®1 Overview
2£®2 Exploring Facebook's Graph API
2£®2£®1 Understanding the Graph API
2£®2£®2 Understanding the Open Graph Protocol
2£®3 Analyzing Social Graph Connections
2£®3£®1 Analyzing Facebook Pages
2£®3£®2 Manipulating Data Using pandas
2£®4 Closing Remarks
2£®5 Recommended Exercises
2£®6 Online Resources
3£® Mining Instagram£º Computer Vision£¬ Neural Networks£¬ Object Recognition£¬and Face Detection
3£®1 Overview
3£®2 Exploring the Instagram API
3£®2£®1 Making Instagram API Requests
3£®2£®2 Retrieving Your Own Instagram Feed
3£®2£®3 Retrieving Media by Hashtag
3£®3 Anatomy of an Instagram Post
3£®4 Crash Course on Artificial Neural Networks
3£®4£®1 Training a Neural Network to \"Look\" at Pictures
3£®4£®2 Recognizing Handwritten Digits
3£®4£®3 Object Recognition Within Photos Using Pretrained Neural Networks
3£®5 Applying Neural Networks to Instagram Posts
3£®5£®1 Tagging the Contents of an Image
3£®5£®2 Detecting Faces in Images
3£®6 Closing Remarks
3£®7 Recommended Exercises
3£®8 Online Resources
4£® Mining Linkeflln£º Faceting Job Titles£¬ Clustering Colleagues£¬ and More
4£®1 Overview
4£®2 Exploring the LinkedIn API
4£®2£®1 Making LinkedIn API Requests
4£®2£®2 Downloading LinkedIn Connections as a CSV File
4£®3 Crash Course on Clustering Data
4£®3£®1 Normalizing Data to Enable Analysis
4£®3£®2 Measuring Similarity
4£®3£®3 Clustering Algorithms
4£®4 Closing Remarks /
4£®5 Recommended Exercises
4£®6 Online Resources
5£® Mining Text Files£º Computing Document Similarity£¬ Extracting Collocations£¬ and More£®
5£®1 Overview
5£®2 Text Files
5£®3 A Whiz-Bang Introduction to TF-IDF
5£®3£®1 Term Frequency
5£®3£®2 Inverse Document Frequency
5£®3£®3 TF-IDF
5£®4 Querying Human Language Data with TF-IDF
5£®4£®1 Introducing the Natural Language Toolkit
5£®4£®2 Applying TF-IDF to Human Language
5£®4£®3 Finding Similar Documents
5£®4£®4 Analyzing Bigrams in Human Language
5£®4£®5 Reflections on Analyzing Human Language Data
5£®5 Closing Remarks
5£®6 Recommended Exercises
5£®7 Online Resources
6£® Mining Web Pages£º Using Natural Language Processing to Understand Human Language£¬ Summarize Blog Posts£¬ and More
6£®1 Overview
6£®2 Scraping£¬ Parsing£¬ and Crawling the Web
6£®2£®1 Breadth-First Search in Web Crawling
6£®3 Discovering Semantics by Decoding Syntax
6£®3£®1 Natural Language Processing Illustrated Step-by-Step
6£®3£®2 Sentence Detection in Human Language Data
6£®3£®3 Document Summarization
6£®4 Entity-Centric Analysis£º A Paradigm Shift
6£®4£®1 Gisting Human Language Data
6£®5 Quality of Analytics for Processing Human Language Data
6£®6 Closing Remarks
6£®7 Recommended Exercises
6£®8 Online Resources
7£® Mining Mailboxes£º Analyzing Who's Talking to Whom About What£¬How Often£¬ and More
7£®1 Overview
7£®2 Obtaining and Processing a Mail
¡­¡­